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Sync ParaSkill interactively-refine-idea

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  1. LICENSE +21 -0
  2. README.md +56 -0
  3. SKILL.md +127 -0
  4. agents/openai.yaml +4 -0
LICENSE ADDED
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+ MIT License
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+
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+ Copyright (c) 2026 bhxdianzhang
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
README.md ADDED
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+ ---
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+ license: mit
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+ language:
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+ - zh
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+ - en
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+ tags:
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+ - codex-skill
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+ - ai-agent
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+ - scientific-writing
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+ - research-workflow
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+ - paraskill
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+ - paradoxgpt
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+ - creator
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+ pretty_name: InteractivelyRefineIdea
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+ ---
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+
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+ # InteractivelyRefineIdea
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+
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+ `interactively-refine-idea` is a ParaSkill research workflow skill for the `creator` family.
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+
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+ ## Purpose
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+
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+ Turn a vague research idea seed into a clearer research direction through clarification, axes, assumptions, risks, and next-step recommendations. Use when a user has an early idea and needs an idea partner rather than a list of ten brainstormed topics. Output is interactive guidance with questions and 2-3 concrete directions.
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+
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+ ## Metadata
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+
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+ - Family: `creator`
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+ - Owner model: `ParadoxGPT-Creator-4B`
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+ - Output type: `interactive`
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+ - Version: `0.1`
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+ - Default language: `zh`
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+
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+ ## Included Files
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+
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+ ```text
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+ InteractivelyRefineIdea/
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+ SKILL.md
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+ agents/openai.yaml
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+ README.md
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+ LICENSE
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+ ```
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+
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+ `SKILL.md` is the executable skill instruction. `README.md` is the Hugging Face card.
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+
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+ ## Installation
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+
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+ Copy this folder into a Codex-discoverable skills directory, or reference `SKILL.md` directly from an agent workflow.
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+
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+ ```bash
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+ mkdir -p ~/.codex/skills
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+ cp -r InteractivelyRefineIdea ~/.codex/skills/interactively-refine-idea
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+ ```
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+
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+ ## Source
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+
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+ This skill is part of the ParaSkill library for ParadoxGPT. The full routing table is maintained in `SKILL_INDEX.json` in the source bundle.
SKILL.md ADDED
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+ ---
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+ name: interactively-refine-idea
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+ description: >-
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+ Turn a vague research idea seed into a clearer research direction through
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+ clarification, axes, assumptions, risks, and next-step recommendations. Use
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+ when a user has an early idea and needs an idea partner rather than a list of
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+ ten brainstormed topics. Output is interactive guidance with questions and
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+ 2-3 concrete directions.
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+ metadata:
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+ owner_model: ParadoxGPT-Creator-4B
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+ skill_family: creator
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+ version: "0.1"
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+ output_type: interactive
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+ default_language: zh
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+ trigger_keywords: [idea seed, refine idea, research direction, clarify, brainstorm, 交互, 科研想法, 创新]
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+ required_inputs: [user_idea_seed]
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+ optional_inputs: [constraints, research_context, target_venue, user_goal]
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+ handoff_to: [generate-idea-variants, identify-fatal-concerns, map-claims-to-experiments, build-intro-argument-chain]
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+ ---
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+
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+ # Interactively Refine Idea
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+
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+ ## Purpose
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+
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+ 和用户一起把模糊想法推进成可写论文的 research direction。Creator 不应立刻生成十个点子,而要先澄清研究空间、关键假设、约束条件、风险和可验证路径。
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+
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+ ## When to Use
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+
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+ - 用户说“我想做 X,但不知道怎么创新”。
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+ - 用户有一个 seed,但没有清楚 gap、insight 或实验路径。
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+ - 需要在 novelty、feasibility、evaluation risk 之间做取舍。
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+
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+ ## Do Not Use
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+
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+ - 输入是一篇完整论文,要反推 idea → 用 `reverse-engineer-paper-idea`。
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+ - 用户已经有明确 seed,只需要多个版本 → 用 `generate-idea-variants`。
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+ - 需要完整实验计划 → 用 `map-claims-to-experiments` 或 Designer skill。
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+
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+ ## Required Inputs
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+
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+ - `user_idea_seed`: 用户的模糊想法。
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+ - `constraints`: optional,预算、模型规模、数据、时间、目标会议。
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+ - `research_context`: optional,相关工作或已知背景。
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+ - `target_venue`: optional。
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+
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+ ## Output Contract
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+
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+ 输出必须至少包含:
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+
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+ 1. **clarifying_questions** - 先问 3-5 个关键问题。
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+ 2. **research_axes** - 把方向拆成可选择的轴。
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+ 3. **current_risk_reading** - novelty、feasibility、evaluation、claim risk。
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+ 4. **candidate_directions** - 2-3 个可推进方向,每个含 insight、method sketch、test。
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+ 5. **recommended_next_step** - 下一步最值得做什么。
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+
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+ ## Procedure
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+
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+ 1. 先复述 seed 的核心意图,不急着生成 idea。
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+ 2. 拆研究轴:对象、机制、评估、数据、约束、失败模式。
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+ 3. 找最可能被 reviewer 批的点,尤其是 novelty 和 evaluation。
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+ 4. 生成 2-3 个方向,每个方向必须有 tension、core insight 和验证路径。
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+ 5. 推荐一个下一步,说明为什么不是另外几个。
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+
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+ ## Quality Bar
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+
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+ 一个好的输出必须:
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+
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+ - 有交互感:先澄清,再提出方向。
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+ - 不列 10 个泛泛 topic。
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+ - 每个方向都能解释为什么 nontrivial 和怎么测。
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+ - 推荐下一步考虑用户 constraints。
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+
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+ 一个差的输出:
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+
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+ - 直接堆 brainstorm 列表。
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+ - 只追求 novelty,忽略可实验性。
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+ - 对 reviewer risk 没有预判。
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+
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+ ## Failure Modes
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+
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+ - **过早收敛**:没问约束就选方案。
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+ - **泛化方向**:方向像 grant topic,不像 paper idea。
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+ - **忽视已有工作拥挤度**:热门方向 novelty 风险很高。
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+ - **实验不可行**:idea 好听但用户资源无法验证。
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+
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+ ## Handoff
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+
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+ - 如果用户要多个风险/成本版本 → `generate-idea-variants`
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+ - 如果候选 idea 需要投稿前风险扫描 → `identify-fatal-concerns`
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+ - 如果要把 idea 转成实验闭环 → `map-claims-to-experiments`
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+ - 如果方向已定,需要写 intro 论证链 → `build-intro-argument-chain`
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+
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+ ## Example
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+
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+ Input:
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+
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+ ```
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+ user_idea_seed: 我想做一个关于 LLM agent memory 的 idea,但不知道怎么创新。
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+ constraints: 只能用 7B 以下模型,2 周实验。
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+ ```
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+
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+ Output:
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+
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+ ```
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+ clarifying_questions:
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+ 1. 你想优化 memory 的 representation、retrieval、update,还是 evaluation?
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+ 2. 目标 agent 是科研、代码、网页还是通用任务?
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+ 3. 你能否构造错误记忆或长期一致性测试?
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+
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+ research_axes:
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+ - memory objective: recall-oriented vs argument-state-oriented
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+ - update policy: append-only vs contradiction-aware
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+ - evaluation: recall accuracy vs decision/evidence consistency
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+
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+ current_risk_reading:
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+ novelty: high, memory-augmented agent 已很拥挤。
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+ evaluation: high, 需要避免只做 toy recall。
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+
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+ candidate_directions:
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+ D1: argument-state memory for research agents.
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+ insight: 科研 agent 更需要维护 claim-decision-evidence 一致性,而不只是 recall。
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+ method sketch: memory slot 存储 claim/evidence/status 三元组。
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+ test: 构造跨轮 claim consistency benchmark。
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+
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+ recommended_next_step:
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+ 先做 D1 的低成本诊断 benchmark,确认现有 memory 系统是否真的在 argument consistency 上失败。
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+ ```
agents/openai.yaml ADDED
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+ interface:
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+ display_name: "Interactively Refine Idea"
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+ short_description: "Turn a vague research idea seed into a clearer research direction through clarification, a"
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+ default_prompt: "Use $interactively-refine-idea for this research-writing task."